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Molecular Breeding

, 36:138 | Cite as

Identification of quantitative trait loci (QTL) for fruit-quality traits and number of weeks of flowering in the cultivated strawberry

  • P. Castro
  • K. S. LewersEmail author
Article

Abstract

Fruit quality and repeat flowering are two major foci of several strawberry breeding programs. The identification of quantitative trait loci (QTL) and molecular markers linked to these traits could improve breeding efficiency. In this work, an F1 population derived from the cross ‘Delmarvel’ × ‘Selva’ was used to develop a genetic linkage map for QTL analyses of fruit-quality traits and number of weeks of flowering. Some QTL for fruit-quality traits were identified on the same homoeologous groups found in previous studies, supporting trait association in multiple genetic backgrounds and utility in multiple breeding programs. None of the QTL for soluble solids colocated with a QTL for titratable acids, and, although the total soluble solid contents were significantly and positively correlated with titratable acids, the correlation coefficient value of 0.2452 and independence of QTL indicate that selection for high soluble solids can be practiced independently of selection for low acidity. One genomic region associated with the total number of weeks of flowering was identified quantitatively on LG IV-S-1. The most significant marker, FxaACAO2I8C-145S, explained 43.3 % of the phenotypic variation. The repeat-flowering trait, scored qualitatively, mapped to the same region as the QTL. Dominance of the repeat-flowering allele was demonstrated by the determination that the repeat-flowering parent was heterozygous. This genomic region appears to be the same region identified in multiple mapping populations and testing environments. Markers linked in multiple populations and testing environments to fruit-quality traits and repeat flowering should be tested widely for use in marker-assisted breeding.

Keywords

Fragaria × ananassa Flowering habit Fruit-quality traits QTL analysis Molecular markers 

Notes

Acknowledgments

This project was funded by USDA-ARS Project 8042-21220-254-00. The authors wish to thank Drs. Stan Hokanson and Sarah Nourse who generated the population before moving on to other research opportunities, Dr. Show Wang who collected the anthocyanin, phenolics and ORAC data before retiring and passing on, and the many former USDA-ARS technicians and undergraduate students who worked on this population at some point while associated with the project. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the US Department of Agriculture or any of the other agencies involved in this research.

Supplementary material

11032_2016_559_MOESM1_ESM.docx (18 kb)
Supplementary material 1 (DOCX 18 kb)
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Supplementary material 2 (PDF 292 kb)
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Supplementary material 3 (DOCX 15 kb)
11032_2016_559_MOESM4_ESM.pdf (136 kb)
Supplementary material 4 (PDF 135 kb)

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© Springer Science+Business Media Dordrecht (outside the USA) 2016

Authors and Affiliations

  1. 1.Genetic Improvement of Fruits and Vegetables LaboratoryUSDA-ARSBeltsvilleUSA

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